iFire
AI fire visualisation system
AI fire visualisation system
罢丑别听iFire聽program connects globally located researchers and 3D immersive systems in the world鈥檚 first AI environment able to visualise interaction with unpredictable extreme fire scenarios such as those of the Australian Black Summer 2019/2020 and Los Angeles 2025. The 3D systems are networked across a range of platforms (Fig. 1) using software that enables users to interact with the fire ground by sharing the same 3D setting in real time, no matter their smart screen platform. The platforms range from mobile 3D cinemas, 3D virtual production volumes, 3D聽LED聽walls, 3D head-mounted displays to 2D laptops and tablets, providing interaction for multiple distributed users at any one time. It is underpinned by an AI framework that analyses, learns from and responds to individual and group behaviour in real-time. It provides specific applications for the four distinct types of end users: researchers, creatives, responders and residents. Collaborators include聽鲍狈厂奥听iCinema Research Centre,聽鲍狈厂奥听Climate Change Research Centre, University of Melbourne Virtual Production Lab, the ABC, AFAC (Australasian Fire & Emergency Service Authorities Council),聽CSIRO/Data61, D眉sseldorf/Cologne Open, Fire and Rescue NSW and Hawkesbury City Council.
iFire聽translates聽SPARK and WRF-SFIRE聽mathematical simulation of actual fires into immersive cinematic scenarios using the film industry standard聽UNREAL聽visualisation tool.听This core platform is then converted into applications for use by scientists, 聽residents, responders and artists.
It is currently developed through three case studies using this approach, comprising: an Australian pine plantation fire (Fig. 2, 3), an Australian grassland fire (Fig. 4, 5) and a US mountain forest fire (Fig. 6, 7).
The case studies are translated into聽
Scientific applications for research labs (Fig.3, 5, 7), e.g.,聽颈贵颈谤别听for the fire modelling聽scientists at 黑料网大事记 Canberra and CSIRO,聽Australia
Broadcast applications for broadcast and online media (Fig. 8)聽e.g.,聽Visualising the Fires of Tomorrow聽for the ABC, Australia
Training applications for first responder facilities 聽(Fig. 9)聽e.g.,聽Immersive Fires聽for Fire and Rescue NSW Emergency Services Academy, Sydney, Australia
Artistic applications for聽art fairs, film festivals,聽galleries and museums 聽(Fig. 10) e.g.,聽笔别苍耻尘产谤补听补苍诲听Equinox: Black Milk; Equinox: Iris聽for Dusseldorf/Cologne Open, Galerie聽Schenk & Weitzdorfer, Germany.
iFire: Pine Plantation Case Study. 2025
The case studies are translated into a range of applications for emergency broadcast for smart phones (Fig. 8), responder training for cinematic theatres (Fig. 9) and creative visualisations for immersive exhibitions (Fig. 10).
These applications are focused on providing diverse audiences and stakeholders the immersive experience and practical understanding of unpredictable extreme fires that are now becoming increasingly intense and frequent. Depicting this new landscape demands the modelling of multiple wildfire kinetic and spatial processes which cannot be understood by human cognition alone. This requires the integration of the speed and scale of AI in establishing patterns and predicting fire behaviours with the subtlety and adaptability of human perception. This involves an intelligent aesthetic that evolves and grows by learning from human behaviour.
The program allows researchers and stakeholders to interact with unanticipated fire scenarios that operate independently of user expectations. By generating unforeseen behaviours, the program enables users to better understand and master the distributed dynamics of fire scenarios in a safe virtual environment. Assembling histories and expertise from diverse backgrounds, it integrates them into an intelligent database with a library of fire behaviours, management procedures and protocols. By offering dynamic life-like encounters where users can rehearse their response, it enhances resident, responder, creative and researcher risk perception, situational awareness and collaborative decision making.
The program assembles a repertoire of expertise ranging across AI, computer graphics, creative arts, database architecture, interaction design, fire management and immersive visualisation. The end result is a visualisation eco-system that can be utilised by research labs, creative enterprises, emergency services and resident organisations in situ. The program is based on the award-winning聽iCASTS聽 safety training simulation system commercialised for the Australian and Chinese mining industry that has trained over 30,000 personnel across six mine locations, reduced injuries by 67% with no fatalities.
罢丑别听iFire聽program is financially supported under the Australian Research Council鈥檚 Laureate funding scheme.
ARC聽Project Director:聽ARC Laureate Fellow Professor Dennis Del Favero
ARC聽Project Collaborators and Partners:聽see Project collaborators and partners tab
ARC聽Project Title:聽Burning landscapes: reimagining unpredictable scenarios
Project Funding:听础搁颁听贵尝200100004
2021-2025
Position | Name |
---|---|
Executive Director | ARC Laureate Fellow Dennis Del Favero |
Co-Director | Prof. Michael J. Ostwald |
Co-Director | ARC Future Fellow Aspro Yang Song |
Office of National Intelligence Post Doc Fellow | Dr Baylee Brits |
ARC Laureate Post Doc Fellow | Dr Susanne Thurow (Associate Director) |
ARC Laureate Post Doc Fellow | Dr Renhao Huang (Associate Director) |
ARC Laureate Senior Programmer | Navin Brohier |
ARC Laureate Programmer | Nora Perry |
ARC Laureate Programmer | Dylan Shorten |
ARC Laureate 3D Modeller | Scott Cotterell |
ARC Laureate PhD | Mario Flores Gonzalez |
ARC Laureate PhD | Frank Wu |
CSIRO PhD | Nagida Helsby-Clark |
ARC Laureate MA | Lara Clemente |
Australian Industry Advisory Committee
European Industry Advisory Committee
Research Committee